Levels of 5α-Reductase Type 1 and Type 2 are Increased in Localized High Grade Compared to Low Grade Prostate Cancer
Bibliographic record
Abstract
PURPOSE: In the prostate testosterone is converted to dihydrotestosterone by 5alpha-reductase type 1 and/or 2. Although 5alpha-reductase type 2 is predominant in normal prostates, type 1 is increased in cancer vs benign tissue. It is unclear whether 5alpha-reductase type 1/2 levels correlate with cancer grade. We compared the relative expression of 5alpha-reductase type 1 and 2 in localized high and low grade prostate cancer. MATERIALS AND METHODS: Immunostaining for 5alpha-reductase type 1/2 was evaluated in 64 prostate tissues from untreated men with localized prostate cancer. The percent of tumor area with moderate-high intensity staining was estimated for each Gleason pattern in the tissues. Adjacent benign tissue was evaluated in 26 prostate cancer specimens. RESULTS: Moderate-high staining for 5alpha-reductase type 1 increased from 18.8% +/- 2.9% (mean +/- SEM) in 34 Gleason pattern 3 cancers to 31.0% +/- 4.1% in 30 Gleason pattern 4/5 cancers (p = 0.016). Staining for 5alpha-reductase type 2 increased from 22.9% +/- 3.0% in 34 Gleason pattern 3 cancers to 39.2% +/- 4.1% in 30 Gleason pattern 4/5 cancers (p = 0.002). Compared to benign prostatic hyperplasia tissues staining for 5alpha-reductase type 1 was greater than 3-fold higher and staining for 5alpha-reductase type 2 was significantly lower in benign tissue adjacent to cancer (p = 0.006 and 0.0236, respectively). CONCLUSIONS: Levels of 5alpha-reductase type 1 and 2 are increased in localized high vs low grade prostate cancer. Levels of 5alpha-reductase type 1 are higher in benign tissue adjacent to cancer than in benign prostatic hyperplasia. These results raise the possibility that increased 5alpha-reductase type 1 in localized high grade cancers may contribute to the decreased effectiveness of the 5alpha-reductase type 2 selective inhibitor finasteride against high grade prostate cancer in the Prostate Cancer Prevention Trial.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".